Christopher Brown
Quantum pathways for charged track finding in high-energy collisions
Brown, Christopher; Spannowsky, Michael; Tapper, Alexander; Williams, Simon; Xiotidis, Ioannis
Authors
Professor Michael Spannowsky michael.spannowsky@durham.ac.uk
Director
Alexander Tapper
Dr Simon Williams simon.j.williams@durham.ac.uk
Postdoctoral Research Associate
Ioannis Xiotidis
Abstract
In high-energy particle collisions, charged track finding is a complex yet crucial endeavor. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the Quantum Amplitude Amplification routine by introducing a data register, and utilizing a novel oracle construction, allows data to be parsed to the circuit and matched with a hit-pattern template, without prior knowledge of the input data. Furthermore, we address the challenges posed by missing hit data, demonstrating the ability of the quantum template matching algorithm to successfully identify charged-particle tracks from hit patterns with missing hits. Our findings therefore propose quantum methodologies tailored for real-world applications and underline the potential of quantum computing in collider physics.
Citation
Brown, C., Spannowsky, M., Tapper, A., Williams, S., & Xiotidis, I. (2024). Quantum pathways for charged track finding in high-energy collisions. Frontiers in Artificial Intelligence, 7, Article 1339785. https://doi.org/10.3389/frai.2024.1339785
Journal Article Type | Article |
---|---|
Acceptance Date | May 7, 2024 |
Online Publication Date | May 30, 2024 |
Publication Date | May 30, 2024 |
Deposit Date | Jul 3, 2024 |
Publicly Available Date | Jul 3, 2024 |
Journal | Frontiers in Artificial Intelligence |
Print ISSN | 2624-8212 |
Electronic ISSN | 2624-8212 |
Publisher | Frontiers Media |
Peer Reviewed | Peer Reviewed |
Volume | 7 |
Article Number | 1339785 |
DOI | https://doi.org/10.3389/frai.2024.1339785 |
Public URL | https://durham-repository.worktribe.com/output/2484215 |
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Copyright Statement
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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